Introduction
The sudden 30% drop in driver acceptance rates for Gojek's GoCar rides during peak hours is a critical issue that demands immediate attention. This analysis will systematically identify, validate, and address the root cause while considering both short-term fixes and long-term strategic implications.
Framework overview
This analysis follows a structured approach covering issue identification, hypothesis generation, validation, and solution development.
Step 1
Clarifying Questions (3 minutes)
Why it matters: Helps pinpoint potential triggers and narrows the investigation timeframe. Expected answer: Within the last week or two. Impact on approach: Recent changes would focus our investigation on recent product updates or market shifts.
Why it matters: Determines if we're dealing with a systemic issue or a localized problem. Expected answer: Varies by region, with some areas more affected than others. Impact on approach: Regional variations would lead us to investigate local factors like traffic patterns or competitive landscapes.
Why it matters: Helps distinguish between peak-specific issues and broader driver behavior changes. Expected answer: Off-peak hours have seen a slight decrease, but not as significant. Impact on approach: A peak-hour specific issue would point towards capacity or incentive problems during high-demand periods.
Why it matters: Technical changes could directly impact driver behavior and acceptance rates. Expected answer: A minor update was pushed to the driver app last week. Impact on approach: Recent updates would shift focus to technical issues or unintended consequences of new features.
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